Abstract :
Technological growth supports the acceleration of the health industry. Technology provides an opportunity for business actors to convey product advantages to be disseminated widely through digital media. Apart from providing benefits in the easy dissemination of information, digital media can be a sales media for the health industry. Based on data from Tokopedia (e-commerce with the most users in Indonesia), the biggest sales are dominated by health products. Large amounts of data (big data) available in e-commerce can be extracted using the Web Scraping method. Big data can be processed to gain certain insights in achieving competitive advantage. CV Nutri Pro as a medium-sized business has limited data which causes the marketing mix that has been prepared beforehand to be incomplete. This condition causes out of sync, where there are demands that cannot be fulfilled. Based on the opportunity to utilize big data, CV Nutri Pro can determine a comprehensive renewable marketing mix. Each aspect of the marketing mix (4Ps) will be processed using big data analytics. The methods used include Pivot Data, K-Means, and Multidimensional Scaling (MDS). This research provides new insights for the company to renew marketing mix.
Keywords :
Data Analytics, E-Commerce, K-Means, Marketing Mix, MDS, Pivot Data, Web Scraping.References :
- Kwok L, Tang Y, Yu B. The 7 Ps Marketing Mix of Home-Sharing Services: Mining Travelers’ Online Reviews on Airbnb. Int J Hosp Manag. 2020;90.
- Dam K, Dinh L, Menvielle W. Marketing Intelligence from Data Mining Perspective — A Literature Review. International Journal of Innovation, Management and Technology. 2019;10(5):184-190.
- Murugan P. Anti-Inflammatory Activity of Cinnamon (C. zeylanicum and C. cassia) Extracts – Identification of E-cinnamaldehyde and O-methoxy cinnamaldehyde as the Most Potent Bioactive Compounds. International Journal of Current Research in Life Sciences. 2021;10(1):3399-3402.
- Bishop A, Witts S, Martin T. The Role of Nutrition in Successful Wound Healing. Vol 32.; 2018. www.nutrition.or.uk;
- Soeters PB, Wolfe RR, Shenkin A. Hypoalbuminemia: Pathogenesis and Clinical Significance. Journal of Parenteral and Enteral Nutrition. 2019;43(2):181-193.
- Eti IA, Bari M. Theoretical Inspection and Rethink of Marketing Mix.; 2020.
- Dam. Marketing Intelligence from Data Mining Perspective — A Literature Review. International Journal of Innovation, Management and Technology. 2019;10(5):184-190.
- Saini A, Rajesh A. Mapping 4Ps of Marketing with Business Intelligence: The Way to The Future of Marketing. Central European Management Journal. 2022;30(3):163-173.
- Rabiyatou D, Babiga B, Sarr EN, Bousso M, Sall O, Mbaye SN. Web Scraping: State-of-the-Art and Areas of Application. IEEE International Conference on Big Data (Big Data). 2019;17(6):6040-6042.
- Singrodia V, Mitra A, Paul S. A Review on Web Scrapping and its Applications. In: 2019 International Conference on Computer Communication and Informatics, ICCCI 2019. Institute of Electrical and Electronics Engineers Inc.; 2019.
- Rotondo A, Quilligan F. Evolution Paths for Knowledge Discovery and Data Mining Process Models. SN Comput Sci. 2020;1(2).
- Pekar A, Duque-Torres A, Seah WKG, Caicedo O. Knowledge Discovery: Can It Shed New Light on Threshold Definition for Heavy-Hitter Detection? Journal of Network and Systems Management. 2021;29(3).
- Safhi HM, Frikh B, Ouhbi B. Assessing Reliability of Big Data Knowledge Discovery process. In: Procedia Computer Science. Vol 148. Elsevier B.V.; 2019:30-36.
- Wickramasuriya R, Marchiori D. Automated Detection of Business-Relevant Outliers in E-Commerce Conversion Rate.; 2019.
- Domino MA, Schrag D, Webinger M, Troy C. Linking Data Analytics to Real-World Business Issues: the Power of the Pivot Table. Journal of Accounting Education. 2021;57.
- Dana RD, Soilihudin D, Silalahi RH, Kurnia DA, Hayati U. Competency Test Clustering Through the Application of Principal Component Analysis (PCA) and the K-Means Algorithm. IOP Conf Ser Mater Sci Eng. 2021;1088(1):012038.
- Alfonsius A, Depari GS, Huang JP. Marketing Mix and Repurchase Intention of Cafe Industry During Covid-19: A Statistical and Data Mining Analysis. Jurnal Minds: Manajemen Ide dan Inspirasi. 2021;8(2):209.
- Sun Z, Huo Y. The Spectrum of Big Data Analytics. Journal of Computer Information Systems. 2021;61(2):154-162.